The main project idea is to combine two main technologically streams –
semantic web and DRM resp. watermarking technology – to increase the
description and interoperation ability of AV content objects for an optimised
authoring in TV workflow environments,

The used DRM / watermarking approach is strongly “semantic content” -
related, because it takes synergetic advantage by covering DRM
(Digital Rights Management) as well as MD (Meta-Data) issues in one. The
meta-data descriptions (textual scheme) of the AV content object as well as the
ID specific information are stored via the watermark. Depending on the object
appliance the stored information is partially (!) encrypted to
preserve for example author rights or “history” data etc. This kind of meta-data
approach allows a “rough” and fast retrieval of AV content objects.

The AV-content objects are furthermore enriched with semantics. This kind of
semantically annotation especially allows covering interoperability and
assignment (object relation) characteristics. The semantic web annotation
will be applied to the objects themselves as well as to sets of objects
referencing a specific domain (set of similar objects).

Semantic metadata will include metadata resulting from automated
anthropocentric video analysis. More specifically these metadata will aim at
describing AV objects in terms of ID, state, movement, actions of humans
depicted in them. Tools for the automatic extraction of such descriptions will
be developed. This kind of semantic annotation allows a precise retrieval
and
effective processing of AV content objects within a comprehensive authoring
workflow. The metadata resulting from anthropocentric analysis will be also used
for Digital Rights Management (DRM) perceptual hashing of AV-data.

The envisioned framework accepts as input professionally as well as
user-generated media objects (see 1.1.1) and supports the creation of large
content pools consisting of and structured as web service repositories. The investigation, research and application
work of the current project will comprise a set of soft computing methods and
Automatic Control techniques: Fuzzy Logic methods (Fuzzy Control), Fuzzy
Description Logic and Inferencing, Approximate
Reasoning techniques, methods exploiting Implicit Semantics and Automatic
Control techniques like cascaded control loops (composed services) closed loop
based fault detection.